Compared to the HGCN, each module of the HGCN+ is updated and the HGCN+ can handle full-band (FB, 0~24 KHz) signals. Since the wide-band (WB, 0~8 KHz) is more likely to contain high energies, tonalities and long sustained sounds, while the high-band (HB, 8~24 KHz) tends to have low energies, noise and rapidly decaying sounds [1]}, the HB and WB spectra are modeled separately [2]}. The HB spectrum is enhanced by a lightweight NSNet [3]} and the WB spectrum is enhanced by an HGCN that is updated in the following aspects. 1) The dual-path encoder and DPRNN [4]}, [5]} are introduced to take full advantage of the features. 2) Cosine is adopted to model the harmonic peak-valley structure, and the voiced region detection (VRD) is judged based on the harmonic integration significance. 3) The gated convolution is replaced by a residual gated structure comprised of linear layers and Gated Recurrent Units (GRUs) [6]} to increase the receptive field of frequency. Since we model the WB and HB spectra separately, HGCN+ can h andle both WB and FB signals without resampling. Experimental results show that HGCN+ outperforms the referenced methods on test sets.
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